How Accurate is a Poverty Map based on Remote Sensing Data?: An Application to Malawi
This paper assesses the reliability of poverty maps derived from remote-sensing data. Employing data for Malawi, it first obtains small area estimates of poverty by combining the Malawi household expenditure survey from 2010/11 with unit record population census data from 2008. It then ignores the p...
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| Format: | Elektronisch E-Book |
| Sprache: | English |
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Washington, D.C
The World Bank
2022
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| Online-Zugang: | Volltext |
| Zusammenfassung: | This paper assesses the reliability of poverty maps derived from remote-sensing data. Employing data for Malawi, it first obtains small area estimates of poverty by combining the Malawi household expenditure survey from 2010/11 with unit record population census data from 2008. It then ignores the population census data and obtains a second poverty map for Malawi by combining the survey data with predictors of poverty derived from remote sensing data. This allows for a clean comparison between the two poverty maps. The findings are encouraging - although that assessment depends somewhat on the evaluation criteria employed. The two approaches reveal the same patterns in the geography of poverty. However, there are instances where the two approaches obtain markedly different estimates of poverty. Poverty maps obtained using remote sensing data may do well when the decision maker is interested in comparisons of poverty between assemblies of areas, yet may be less reliable when the focus is on estimates for specific small areas |
| Beschreibung: | 1 Online-Ressource (61 Seiten) |
| DOI: | 10.1596/1813-9450-10171 |
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| 520 | 3 | |a This paper assesses the reliability of poverty maps derived from remote-sensing data. Employing data for Malawi, it first obtains small area estimates of poverty by combining the Malawi household expenditure survey from 2010/11 with unit record population census data from 2008. It then ignores the population census data and obtains a second poverty map for Malawi by combining the survey data with predictors of poverty derived from remote sensing data. This allows for a clean comparison between the two poverty maps. The findings are encouraging - although that assessment depends somewhat on the evaluation criteria employed. The two approaches reveal the same patterns in the geography of poverty. However, there are instances where the two approaches obtain markedly different estimates of poverty. Poverty maps obtained using remote sensing data may do well when the decision maker is interested in comparisons of poverty between assemblies of areas, yet may be less reliable when the focus is on estimates for specific small areas | |
| 650 | 4 | |a Development Patterns and Poverty | |
| 650 | 4 | |a Geography of Poverty | |
| 650 | 4 | |a Poverty Assessment | |
| 650 | 4 | |a Poverty Mapping | |
| 650 | 4 | |a Poverty Monitoring | |
| 650 | 4 | |a Poverty Monitoring and Analysis | |
| 650 | 4 | |a Poverty Reduction | |
| 650 | 4 | |a Remote Sensing Data | |
| 650 | 4 | |a Small Area Poverty Estimation | |
| 650 | 4 | |a Targeting Transfers | |
| 700 | 1 | |a Blankespoor, Brian |e Sonstige |4 oth | |
| 700 | 1 | |a Elbers, Chris |e Sonstige |4 oth | |
| 700 | 1 | |a Lanjouw, Peter |e Sonstige |4 oth | |
| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |a Van Der Weide, Roy |t How Accurate is a Poverty Map based on Remote Sensing Data? An Application to Malawi |d Washington, D.C. : The World Bank, 2022 |
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| 943 | 1 | |a oai:aleph.bib-bvb.de:BVB01-034341673 | |
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| id | DE-604.BV049079782 |
| illustrated | Not Illustrated |
| index_date | 2024-07-03T22:27:56Z |
| indexdate | 2024-10-12T04:02:52Z |
| institution | BVB |
| language | English |
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| spellingShingle | Van Der Weide, Roy How Accurate is a Poverty Map based on Remote Sensing Data? An Application to Malawi Development Patterns and Poverty Geography of Poverty Poverty Assessment Poverty Mapping Poverty Monitoring Poverty Monitoring and Analysis Poverty Reduction Remote Sensing Data Small Area Poverty Estimation Targeting Transfers |
| title | How Accurate is a Poverty Map based on Remote Sensing Data? An Application to Malawi |
| title_auth | How Accurate is a Poverty Map based on Remote Sensing Data? An Application to Malawi |
| title_exact_search | How Accurate is a Poverty Map based on Remote Sensing Data? An Application to Malawi |
| title_exact_search_txtP | How Accurate is a Poverty Map based on Remote Sensing Data? An Application to Malawi |
| title_full | How Accurate is a Poverty Map based on Remote Sensing Data? An Application to Malawi Roy Van Der Weide |
| title_fullStr | How Accurate is a Poverty Map based on Remote Sensing Data? An Application to Malawi Roy Van Der Weide |
| title_full_unstemmed | How Accurate is a Poverty Map based on Remote Sensing Data? An Application to Malawi Roy Van Der Weide |
| title_short | How Accurate is a Poverty Map based on Remote Sensing Data? |
| title_sort | how accurate is a poverty map based on remote sensing data an application to malawi |
| title_sub | An Application to Malawi |
| topic | Development Patterns and Poverty Geography of Poverty Poverty Assessment Poverty Mapping Poverty Monitoring Poverty Monitoring and Analysis Poverty Reduction Remote Sensing Data Small Area Poverty Estimation Targeting Transfers |
| topic_facet | Development Patterns and Poverty Geography of Poverty Poverty Assessment Poverty Mapping Poverty Monitoring Poverty Monitoring and Analysis Poverty Reduction Remote Sensing Data Small Area Poverty Estimation Targeting Transfers |
| url | https://doi.org/10.1596/1813-9450-10171 |
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